Software Engineer, Backend (AI Infrastructure) - Remote

Overview

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

In Short

• Design, develop and deploy MLOps infrastructure for AI and deep learning models.
• Develop scalable cloud AI/ML pipelines for customer-facing services.
• Implement best MLOps practices for model development and deployment.
• Address availability issues and improve system performance.
• Collaborate with technical leads and engineers across teams.
• Mentor junior team members.

Requirements

• Bachelor’s Degree in Computer Science, Electrical Engineering, or related field.
• 1-3+ years experience in scalable software systems.
• Hands-on experience with MLOps tools (Docker, Kubernetes, AWS).
• Solid foundations in data structures and algorithms.
• Excellent communication skills.
• Knowledge of computer vision, deep learning, or predictive modeling is a plus.

Benefits

• Inclusive workplace culture.
• Career development opportunities.
• Work with cutting-edge AI technologies.
• Flexible working environment.
• Collaborative team atmosphere.